research
Deep research via Gemini CLI — runs in background sub-agent so you don't burn your Claude tokens.
Why use this skill?
Conduct comprehensive, deep-dive research without burning your Claude tokens. This OpenClaw skill uses Gemini CLI to generate long-form reports locally.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/pors/researchWhat This Skill Does
The Research skill leverages the power of the Gemini CLI to perform exhaustive, deep-dive investigations on virtually any subject. By spawning a background sub-agent to handle the heavy lifting, it offloads complex, token-intensive research tasks away from your primary Claude-based session. This allows for massive, long-form content generation while preserving your primary agent's token limits and focus. The skill prompts the user for context, spawns a focused sub-agent, and compiles a comprehensive, multi-section report saved directly to your local file system.
Installation
To integrate this skill into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/pors/research
Ensure that you have the Gemini CLI configured and authorized on your system, as this skill utilizes your personal Google AI subscription keys to function.
Use Cases
- Academic & Technical Research: Quickly generate massive technical deep dives into niche programming languages, frameworks, or scientific theories.
- Market Analysis: Gather data on competitors, emerging industry trends, and technical benchmarks for business decision-making.
- Content Creation: Research complex topics to build a robust knowledge base for drafting blog posts, white papers, or technical documentation.
- Learning & Skill Acquisition: Create structured, long-form curricula for self-teaching complex engineering or creative topics.
Example Prompts
- "Research: I'm trying to decide between using PostgreSQL or MongoDB for a new high-frequency financial tracking app. What are the pros, cons, and performance bottlenecks for each?"
- "Research: Can you conduct a deep dive into the current state of Retrieval-Augmented Generation (RAG) for enterprise document processing? Focus on common pitfalls and current state-of-the-art vector database strategies."
- "Research: I need to write a white paper on the ethical implications of using large language models in healthcare. Please cover privacy, bias, and regulatory frameworks."
Tips & Limitations
- Context is Key: Always provide as much initial context as possible to the research sub-agent. The more you specify about your goals and target audience, the higher the quality of the generated report.
- Resource Management: Because this tool generates 500+ line reports, ensure you have sufficient disk space in your
~/clawd/research/directory. - Cleanup: Periodically audit your
~/clawd/research/directory to remove older projects, as the sub-agent keeps all generated reports on your local machine by default. - Safety: While this skill runs via the Gemini API, treat all output as a starting point for human verification, especially for technical or critical decision-making tasks.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-pors-research": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, file-read, external-api, code-execution
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